Overview

Dataset statistics

Number of variables20
Number of observations385500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.8 MiB
Average record size in memory160.0 B

Variable types

Numeric20

Alerts

tmax[10] is highly overall correlated with tmax[11] and 11 other fieldsHigh correlation
tmax[11] is highly overall correlated with tmax[10] and 8 other fieldsHigh correlation
tmax[13] is highly overall correlated with tmax[10] and 10 other fieldsHigh correlation
tmax[14] is highly overall correlated with tmax[10] and 7 other fieldsHigh correlation
tmax[15] is highly overall correlated with tmax[10] and 11 other fieldsHigh correlation
tmax[16] is highly overall correlated with tmax[10] and 11 other fieldsHigh correlation
tmax[17] is highly overall correlated with tmax[10] and 11 other fieldsHigh correlation
tmax[1] is highly overall correlated with tmax[10] and 6 other fieldsHigh correlation
tmax[3] is highly overall correlated with tmax[10] and 10 other fieldsHigh correlation
tmax[4] is highly overall correlated with tmax[10] and 6 other fieldsHigh correlation
tmax[5] is highly overall correlated with tmax[10] and 11 other fieldsHigh correlation
tmax[6] is highly overall correlated with tmax[10] and 4 other fieldsHigh correlation
tmax[8] is highly overall correlated with tmax[10] and 7 other fieldsHigh correlation
tmax[5] is highly skewed (γ1 = 20.24180824)Skewed
tmax[13] is highly skewed (γ1 = 24.10979066)Skewed
tmax[16] has unique valuesUnique

Reproduction

Analysis started2024-01-12 12:38:10.108250
Analysis finished2024-01-12 12:39:47.102535
Duration1 minute and 36.99 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

tmax[0]
Real number (ℝ)

Distinct98441
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.593811
Minimum0
Maximum204.6
Zeros590
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:47.261540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.8
Q146.4
median90.6
Q3151.02698
95-th percentile193.4
Maximum204.6
Range204.6
Interquartile range (IQR)104.62698

Descriptive statistics

Standard deviation59.444364
Coefficient of variation (CV)0.60909973
Kurtosis-1.2288245
Mean97.593811
Median Absolute Deviation (MAD)51.6
Skewness0.1335188
Sum37622414
Variance3533.6324
MonotonicityNot monotonic
2024-01-12T13:39:47.414535image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.6 2781
 
0.7%
72.4 1996
 
0.5%
72.2 1394
 
0.4%
72 1059
 
0.3%
72.8 1015
 
0.3%
1.4 919
 
0.2%
73 885
 
0.2%
71.8 845
 
0.2%
1.2 779
 
0.2%
73.2 708
 
0.2%
Other values (98431) 373119
96.8%
ValueCountFrequency (%)
0 590
0.2%
0.2 1
 
< 0.1%
0.4 498
0.1%
0.6 536
0.1%
0.8 630
0.2%
0.9677697528 1
 
< 0.1%
1 666
0.2%
1.021411894 1
 
< 0.1%
1.044974728 1
 
< 0.1%
1.056003278 1
 
< 0.1%
ValueCountFrequency (%)
204.6 564
0.1%
204.4681148 1
 
< 0.1%
204.4 319
0.1%
204.2 246
0.1%
204 207
 
0.1%
203.8 189
 
< 0.1%
203.6 151
 
< 0.1%
203.4 75
 
< 0.1%
203.2 99
 
< 0.1%
203 101
 
< 0.1%

tmax[1]
Real number (ℝ)

HIGH CORRELATION 

Distinct76733
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.383326
Minimum0
Maximum204.6
Zeros147
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:47.556540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40.69829
Q171.2
median71.8
Q372.4
95-th percentile156
Maximum204.6
Range204.6
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation30.102913
Coefficient of variation (CV)0.38901032
Kurtosis6.027981
Mean77.383326
Median Absolute Deviation (MAD)0.6
Skewness2.0292615
Sum29831272
Variance906.18536
MonotonicityNot monotonic
2024-01-12T13:39:47.879536image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.4 25658
 
6.7%
71.8 25642
 
6.7%
72.2 25528
 
6.6%
71.2 24545
 
6.4%
71.6 24224
 
6.3%
72 24175
 
6.3%
71 24095
 
6.3%
72.4 23797
 
6.2%
70.8 18355
 
4.8%
72.6 16461
 
4.3%
Other values (76723) 153020
39.7%
ValueCountFrequency (%)
0 147
< 0.1%
0.4 126
< 0.1%
0.6 135
< 0.1%
0.8 138
< 0.1%
1 141
< 0.1%
1.137011271 1
 
< 0.1%
1.177317574 1
 
< 0.1%
1.191759708 1
 
< 0.1%
1.2 152
< 0.1%
1.216407622 1
 
< 0.1%
ValueCountFrequency (%)
204.6 188
< 0.1%
204.4 63
 
< 0.1%
204.2 44
 
< 0.1%
204 31
 
< 0.1%
203.8 29
 
< 0.1%
203.6 34
 
< 0.1%
203.4 18
 
< 0.1%
203.2 21
 
< 0.1%
203 29
 
< 0.1%
202.9065489 1
 
< 0.1%

tmax[2]
Real number (ℝ)

Distinct84531
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.221963
Minimum0
Maximum204.6
Zeros280
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:48.037540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.4
Q171
median71.992175
Q386.4
95-th percentile181.6
Maximum204.6
Range204.6
Interquartile range (IQR)15.4

Descriptive statistics

Standard deviation43.514353
Coefficient of variation (CV)0.51666278
Kurtosis0.74791145
Mean84.221963
Median Absolute Deviation (MAD)1.1921754
Skewness0.99967732
Sum32467567
Variance1893.4989
MonotonicityNot monotonic
2024-01-12T13:39:48.165540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.4 17826
 
4.6%
72.2 17682
 
4.6%
72.4 17053
 
4.4%
71.8 16803
 
4.4%
72 16431
 
4.3%
71.2 16428
 
4.3%
71 16026
 
4.2%
71.6 15769
 
4.1%
72.6 13206
 
3.4%
70.8 12088
 
3.1%
Other values (84521) 226188
58.7%
ValueCountFrequency (%)
0 280
0.1%
0.4 306
0.1%
0.6 227
0.1%
0.8 319
0.1%
1 310
0.1%
1.018730108 1
 
< 0.1%
1.048866421 1
 
< 0.1%
1.109954747 1
 
< 0.1%
1.116509284 1
 
< 0.1%
1.122875033 1
 
< 0.1%
ValueCountFrequency (%)
204.6 506
0.1%
204.4 141
 
< 0.1%
204.2 127
 
< 0.1%
204 86
 
< 0.1%
203.8 109
 
< 0.1%
203.6 52
 
< 0.1%
203.4 64
 
< 0.1%
203.2 37
 
< 0.1%
203 59
 
< 0.1%
202.9073846 1
 
< 0.1%

tmax[3]
Real number (ℝ)

HIGH CORRELATION 

Distinct60405
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.975241
Minimum0
Maximum204.6
Zeros29
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:48.310536image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70.6
Q171.060475
median71.6
Q372.2
95-th percentile72.6
Maximum204.6
Range204.6
Interquartile range (IQR)1.1395249

Descriptive statistics

Standard deviation14.680792
Coefficient of variation (CV)0.20117498
Kurtosis39.83927
Mean72.975241
Median Absolute Deviation (MAD)0.6
Skewness5.0452427
Sum28131955
Variance215.52567
MonotonicityNot monotonic
2024-01-12T13:39:48.452541image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.4 32854
 
8.5%
71.8 32127
 
8.3%
71 31944
 
8.3%
72.2 31606
 
8.2%
72 31101
 
8.1%
71.2 30775
 
8.0%
71.6 30279
 
7.9%
70.8 26640
 
6.9%
72.4 25167
 
6.5%
70.6 16737
 
4.3%
Other values (60395) 96270
25.0%
ValueCountFrequency (%)
0 29
< 0.1%
0.4 30
< 0.1%
0.6 31
< 0.1%
0.8 23
< 0.1%
1 31
< 0.1%
1.17697823 1
 
< 0.1%
1.2 26
< 0.1%
1.211104404 1
 
< 0.1%
1.247763866 1
 
< 0.1%
1.287668663 1
 
< 0.1%
ValueCountFrequency (%)
204.6 39
< 0.1%
204.4 10
 
< 0.1%
204.2 4
 
< 0.1%
204 9
 
< 0.1%
203.8 3
 
< 0.1%
203.6 11
 
< 0.1%
203.4 3
 
< 0.1%
203.2 1
 
< 0.1%
203 6
 
< 0.1%
202.8 10
 
< 0.1%

tmax[4]
Real number (ℝ)

HIGH CORRELATION 

Distinct76110
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.332988
Minimum0
Maximum204.6
Zeros110
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:48.605557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42.4
Q171
median71.6
Q372.222858
95-th percentile155.77583
Maximum204.6
Range204.6
Interquartile range (IQR)1.2228577

Descriptive statistics

Standard deviation29.896806
Coefficient of variation (CV)0.38659836
Kurtosis6.1608042
Mean77.332988
Median Absolute Deviation (MAD)0.6
Skewness2.0573781
Sum29811867
Variance893.81902
MonotonicityNot monotonic
2024-01-12T13:39:48.743536image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.4 26411
 
6.9%
72.2 25639
 
6.7%
71.8 25370
 
6.6%
71 24939
 
6.5%
71.2 24521
 
6.4%
72 24488
 
6.4%
71.6 24067
 
6.2%
70.8 21902
 
5.7%
72.4 21080
 
5.5%
70.6 14535
 
3.8%
Other values (76100) 152548
39.6%
ValueCountFrequency (%)
0 110
< 0.1%
0.4 115
< 0.1%
0.6 115
< 0.1%
0.8 157
< 0.1%
1 211
0.1%
1.093800595 1
 
< 0.1%
1.2 200
0.1%
1.226980445 1
 
< 0.1%
1.250044753 1
 
< 0.1%
1.258808365 1
 
< 0.1%
ValueCountFrequency (%)
204.6 105
< 0.1%
204.4 73
< 0.1%
204.2 49
< 0.1%
204 38
 
< 0.1%
203.8 29
 
< 0.1%
203.6 38
 
< 0.1%
203.4 19
 
< 0.1%
203.3420444 1
 
< 0.1%
203.2 16
 
< 0.1%
203 21
 
< 0.1%

tmax[5]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct26087
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.544003
Minimum0
Maximum204.6
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:48.898565image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70.6
Q171
median71.4
Q372
95-th percentile72.4
Maximum204.6
Range204.6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.0084321
Coefficient of variation (CV)0.056027507
Kurtosis609.69448
Mean71.544003
Median Absolute Deviation (MAD)0.40319612
Skewness20.241808
Sum27580213
Variance16.067528
MonotonicityNot monotonic
2024-01-12T13:39:49.037550image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.4 37547
9.7%
71.8 37340
9.7%
71 37162
9.6%
71.2 35448
9.2%
72 35115
9.1%
71.6 35080
9.1%
70.8 34911
9.1%
72.2 33598
8.7%
70.6 31270
8.1%
72.4 17776
 
4.6%
Other values (26077) 50253
13.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.4 1
 
< 0.1%
0.6 1
 
< 0.1%
0.8 4
< 0.1%
1.4 3
< 0.1%
1.6 1
 
< 0.1%
1.8 3
< 0.1%
2 2
< 0.1%
2.2 3
< 0.1%
2.567266181 1
 
< 0.1%
ValueCountFrequency (%)
204.6 5
< 0.1%
204.4 4
< 0.1%
203.8 1
 
< 0.1%
203 1
 
< 0.1%
202.0928707 1
 
< 0.1%
201.9583775 1
 
< 0.1%
201.8 1
 
< 0.1%
201.5664408 1
 
< 0.1%
201.2 1
 
< 0.1%
201 2
 
< 0.1%

tmax[6]
Real number (ℝ)

HIGH CORRELATION 

Distinct72127
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.3248
Minimum0
Maximum204.6
Zeros156
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:49.181568image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35.931612
Q170.8
median71.4
Q372.0435
95-th percentile163.4
Maximum204.6
Range204.6
Interquartile range (IQR)1.2435005

Descriptive statistics

Standard deviation32.690131
Coefficient of variation (CV)0.41736629
Kurtosis4.4705267
Mean78.3248
Median Absolute Deviation (MAD)0.6
Skewness1.8049726
Sum30194210
Variance1068.6447
MonotonicityNot monotonic
2024-01-12T13:39:49.323537image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.4 25246
 
6.5%
71.8 24613
 
6.4%
71 24513
 
6.4%
70.6 23862
 
6.2%
71.2 23363
 
6.1%
70.8 23227
 
6.0%
71.6 23113
 
6.0%
72 22661
 
5.9%
72.2 17761
 
4.6%
70.4 15434
 
4.0%
Other values (72117) 161707
41.9%
ValueCountFrequency (%)
0 156
< 0.1%
0.2 1
 
< 0.1%
0.4 111
< 0.1%
0.6 161
< 0.1%
0.8 186
< 0.1%
1 191
< 0.1%
1.184952632 1
 
< 0.1%
1.2 215
0.1%
1.234949169 1
 
< 0.1%
1.237169547 1
 
< 0.1%
ValueCountFrequency (%)
204.6 173
< 0.1%
204.4 67
 
< 0.1%
204.2 51
 
< 0.1%
204 40
 
< 0.1%
203.8 53
 
< 0.1%
203.6 36
 
< 0.1%
203.4 30
 
< 0.1%
203.2 22
 
< 0.1%
203 35
 
< 0.1%
202.8615665 1
 
< 0.1%

tmax[7]
Real number (ℝ)

Distinct100842
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.900006
Minimum0
Maximum204.6
Zeros605
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:49.471566image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.2
Q146.081232
median91.6
Q3151.8
95-th percentile193.4
Maximum204.6
Range204.6
Interquartile range (IQR)105.71877

Descriptive statistics

Standard deviation59.795323
Coefficient of variation (CV)0.61077957
Kurtosis-1.2423032
Mean97.900006
Median Absolute Deviation (MAD)52.4
Skewness0.11340231
Sum37740452
Variance3575.4807
MonotonicityNot monotonic
2024-01-12T13:39:49.635535image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.6 2461
 
0.6%
72.4 1946
 
0.5%
72.2 1311
 
0.3%
72 1008
 
0.3%
204.6 767
 
0.2%
71.4 740
 
0.2%
1.6 730
 
0.2%
1 716
 
0.2%
71 709
 
0.2%
1.2 704
 
0.2%
Other values (100832) 374408
97.1%
ValueCountFrequency (%)
0 605
0.2%
0.4 491
0.1%
0.6 578
0.1%
0.8 605
0.2%
0.9858149212 1
 
< 0.1%
0.9878691649 1
 
< 0.1%
1 716
0.2%
1.047518066 1
 
< 0.1%
1.086986402 1
 
< 0.1%
1.100125259 1
 
< 0.1%
ValueCountFrequency (%)
204.6 767
0.2%
204.4 317
0.1%
204.2 249
 
0.1%
204 187
 
< 0.1%
203.8 201
 
0.1%
203.6 98
 
< 0.1%
203.4 55
 
< 0.1%
203.2 74
 
< 0.1%
203 163
 
< 0.1%
202.9016006 1
 
< 0.1%

tmax[8]
Real number (ℝ)

HIGH CORRELATION 

Distinct59091
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.94907
Minimum0
Maximum204.6
Zeros103
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:49.797534image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55.8
Q171.2
median71.8
Q372.4
95-th percentile137.2
Maximum204.6
Range204.6
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation26.31364
Coefficient of variation (CV)0.34646428
Kurtosis9.5852809
Mean75.94907
Median Absolute Deviation (MAD)0.6
Skewness2.461741
Sum29278366
Variance692.40765
MonotonicityNot monotonic
2024-01-12T13:39:49.942534image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.6 28356
 
7.4%
72 28331
 
7.3%
71.2 27893
 
7.2%
72.2 27518
 
7.1%
71.4 27117
 
7.0%
71.8 26743
 
6.9%
72.4 25882
 
6.7%
71 25875
 
6.7%
70.8 22202
 
5.8%
72.6 15954
 
4.1%
Other values (59081) 129629
33.6%
ValueCountFrequency (%)
0 103
< 0.1%
0.4 109
< 0.1%
0.6 127
< 0.1%
0.8 138
< 0.1%
1 114
< 0.1%
1.155305711 1
 
< 0.1%
1.164628011 1
 
< 0.1%
1.199000617 1
 
< 0.1%
1.2 106
< 0.1%
1.270006263 1
 
< 0.1%
ValueCountFrequency (%)
204.6 72
< 0.1%
204.4 28
 
< 0.1%
204.2 41
< 0.1%
204 38
< 0.1%
203.8 55
< 0.1%
203.6 18
 
< 0.1%
203.4 11
 
< 0.1%
203.2 20
 
< 0.1%
203 9
 
< 0.1%
202.8568181 1
 
< 0.1%

tmax[9]
Real number (ℝ)

Distinct68376
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.758572
Minimum0
Maximum204.6
Zeros231
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:50.098540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.8
Q171
median71.8
Q372.6
95-th percentile174.8
Maximum204.6
Range204.6
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation37.492926
Coefficient of variation (CV)0.4642594
Kurtosis2.5498039
Mean80.758572
Median Absolute Deviation (MAD)0.8
Skewness1.39747
Sum31132430
Variance1405.7195
MonotonicityNot monotonic
2024-01-12T13:39:50.229537image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.6 21882
 
5.7%
72.2 21857
 
5.7%
71.2 21468
 
5.6%
72 21464
 
5.6%
71.4 20949
 
5.4%
71.8 20646
 
5.4%
72.4 20634
 
5.4%
71 20350
 
5.3%
70.8 16637
 
4.3%
72.6 14044
 
3.6%
Other values (68366) 185569
48.1%
ValueCountFrequency (%)
0 231
0.1%
0.4 250
0.1%
0.6 148
< 0.1%
0.8 151
< 0.1%
1 216
0.1%
1.038630419 1
 
< 0.1%
1.113818966 1
 
< 0.1%
1.129622881 1
 
< 0.1%
1.137838396 1
 
< 0.1%
1.147279992 1
 
< 0.1%
ValueCountFrequency (%)
204.6 108
< 0.1%
204.4 62
< 0.1%
204.2 71
< 0.1%
204 115
< 0.1%
203.8 61
< 0.1%
203.6 48
< 0.1%
203.4 30
 
< 0.1%
203.2 44
 
< 0.1%
203 45
 
< 0.1%
202.9509993 1
 
< 0.1%

tmax[10]
Real number (ℝ)

HIGH CORRELATION 

Distinct29840
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.874087
Minimum0
Maximum204.6
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:50.395541image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70.6
Q171
median71.6
Q372
95-th percentile72.529568
Maximum204.6
Range204.6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.9380569
Coefficient of variation (CV)0.096530713
Kurtosis196.44437
Mean71.874087
Median Absolute Deviation (MAD)0.54233165
Skewness11.549228
Sum27707461
Variance48.136634
MonotonicityNot monotonic
2024-01-12T13:39:50.535536image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.6 36264
9.4%
71.2 35812
9.3%
72 35395
9.2%
71.8 34797
9.0%
71 34679
9.0%
71.4 34625
9.0%
72.2 34411
8.9%
70.8 33450
8.7%
72.4 25100
6.5%
70.6 23151
6.0%
Other values (29830) 57816
15.0%
ValueCountFrequency (%)
0 4
< 0.1%
0.4 8
< 0.1%
0.6 9
< 0.1%
0.8 4
< 0.1%
1 2
 
< 0.1%
1.2 2
 
< 0.1%
1.4 1
 
< 0.1%
1.6 2
 
< 0.1%
1.8 3
 
< 0.1%
2 6
< 0.1%
ValueCountFrequency (%)
204.6 2
 
< 0.1%
204.2 10
< 0.1%
204 2
 
< 0.1%
203.6 3
 
< 0.1%
203.2 1
 
< 0.1%
203 3
 
< 0.1%
202.8 1
 
< 0.1%
202.6 4
 
< 0.1%
202.4 3
 
< 0.1%
202.3592026 1
 
< 0.1%

tmax[11]
Real number (ℝ)

HIGH CORRELATION 

Distinct51190
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.250317
Minimum0
Maximum204.6
Zeros53
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:50.691564image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70.4
Q171
median71.6
Q372.2
95-th percentile94
Maximum204.6
Range204.6
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation20.631776
Coefficient of variation (CV)0.27786785
Kurtosis18.326898
Mean74.250317
Median Absolute Deviation (MAD)0.6
Skewness3.3790616
Sum28623497
Variance425.67018
MonotonicityNot monotonic
2024-01-12T13:39:50.859535image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.6 31101
 
8.1%
72 30816
 
8.0%
71.2 30622
 
7.9%
71.4 30287
 
7.9%
71 30084
 
7.8%
72.2 29821
 
7.7%
71.8 29502
 
7.7%
70.8 26811
 
7.0%
72.4 24973
 
6.5%
70.6 16546
 
4.3%
Other values (51180) 104937
27.2%
ValueCountFrequency (%)
0 53
< 0.1%
0.4 51
< 0.1%
0.6 80
< 0.1%
0.8 50
< 0.1%
1 62
< 0.1%
1.2 58
< 0.1%
1.253945501 1
 
< 0.1%
1.4 66
< 0.1%
1.403961691 1
 
< 0.1%
1.419112428 1
 
< 0.1%
ValueCountFrequency (%)
204.6 42
< 0.1%
204.4 25
< 0.1%
204.2 30
< 0.1%
204 16
 
< 0.1%
203.8 15
 
< 0.1%
203.6 15
 
< 0.1%
203.4 7
 
< 0.1%
203.2 9
 
< 0.1%
203 14
 
< 0.1%
202.9402183 1
 
< 0.1%

tmax[12]
Real number (ℝ)

Distinct76490
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.552845
Minimum0
Maximum204.6
Zeros632
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:51.022550image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q146.8
median92.321804
Q3149.4
95-th percentile194.8
Maximum204.6
Range204.6
Interquartile range (IQR)102.6

Descriptive statistics

Standard deviation60.045805
Coefficient of variation (CV)0.6155208
Kurtosis-1.1887326
Mean97.552845
Median Absolute Deviation (MAD)50.921804
Skewness0.12411262
Sum37606622
Variance3605.4986
MonotonicityNot monotonic
2024-01-12T13:39:51.158536image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.6 2236
 
0.6%
72.8 1846
 
0.5%
72.2 1423
 
0.4%
72.4 1067
 
0.3%
73.2 858
 
0.2%
2 792
 
0.2%
2.2 785
 
0.2%
1.8 771
 
0.2%
0.6 727
 
0.2%
3 712
 
0.2%
Other values (76480) 374283
97.1%
ValueCountFrequency (%)
0 632
0.2%
0.4 656
0.2%
0.6 727
0.2%
0.8 551
0.1%
0.9769335695 1
 
< 0.1%
1 625
0.2%
1.031052713 1
 
< 0.1%
1.07046865 1
 
< 0.1%
1.113676409 1
 
< 0.1%
1.13357858 1
 
< 0.1%
ValueCountFrequency (%)
204.6 480
0.1%
204.4 165
 
< 0.1%
204.2 140
 
< 0.1%
204 224
0.1%
203.8 199
0.1%
203.6 106
 
< 0.1%
203.4 131
 
< 0.1%
203.2 105
 
< 0.1%
203 170
 
< 0.1%
202.9376567 1
 
< 0.1%

tmax[13]
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct17384
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.709501
Minimum0
Maximum204
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:51.313540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70.8
Q171.2
median71.6
Q372.2
95-th percentile72.6
Maximum204
Range204
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9649762
Coefficient of variation (CV)0.041347047
Kurtosis968.02554
Mean71.709501
Median Absolute Deviation (MAD)0.4
Skewness24.109791
Sum27644013
Variance8.7910836
MonotonicityNot monotonic
2024-01-12T13:39:51.470536image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.2 37999
9.9%
71.6 37788
9.8%
72 37467
9.7%
71.4 36839
9.6%
72.2 36533
9.5%
71.8 35816
9.3%
71 34365
8.9%
72.4 34098
8.8%
70.8 29598
7.7%
72.6 19932
5.2%
Other values (17374) 45065
11.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.4 2
< 0.1%
0.6 1
 
< 0.1%
0.8 3
< 0.1%
1.4 1
 
< 0.1%
3.2 1
 
< 0.1%
4.2 4
< 0.1%
4.8 2
< 0.1%
4.995365196 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
204 1
 
< 0.1%
202.6 1
 
< 0.1%
201.8 1
 
< 0.1%
201.2 2
< 0.1%
201 3
< 0.1%
200.8313639 1
 
< 0.1%
200.8 3
< 0.1%
200.7919853 1
 
< 0.1%
200.6 1
 
< 0.1%
200.4 2
< 0.1%

tmax[14]
Real number (ℝ)

HIGH CORRELATION 

Distinct58060
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.455162
Minimum0
Maximum204.6
Zeros164
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:51.637540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q170.8
median71.4
Q372.2
95-th percentile157
Maximum204.6
Range204.6
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation30.938912
Coefficient of variation (CV)0.39944286
Kurtosis5.791283
Mean77.455162
Median Absolute Deviation (MAD)0.6
Skewness1.9704052
Sum29858965
Variance957.21626
MonotonicityNot monotonic
2024-01-12T13:39:51.776539image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.6 26466
 
6.9%
71.2 26192
 
6.8%
70.8 25828
 
6.7%
72 25712
 
6.7%
71.4 25663
 
6.7%
71.8 25368
 
6.6%
71 24862
 
6.4%
70.6 21766
 
5.6%
72.2 20653
 
5.4%
70.4 13922
 
3.6%
Other values (58050) 149068
38.7%
ValueCountFrequency (%)
0 164
< 0.1%
0.4 163
< 0.1%
0.6 173
< 0.1%
0.8 112
< 0.1%
1 138
< 0.1%
1.074058999 1
 
< 0.1%
1.088051659 1
 
< 0.1%
1.093112057 1
 
< 0.1%
1.146310162 1
 
< 0.1%
1.161856886 1
 
< 0.1%
ValueCountFrequency (%)
204.6 126
< 0.1%
204.4 45
 
< 0.1%
204.2 34
 
< 0.1%
204 54
< 0.1%
203.8 59
< 0.1%
203.6 23
 
< 0.1%
203.4 38
 
< 0.1%
203.2 9
 
< 0.1%
203 42
 
< 0.1%
202.8324568 1
 
< 0.1%

tmax[15]
Real number (ℝ)

HIGH CORRELATION 

Distinct379951
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.88865
Minimum70.4
Maximum73.426615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:51.920539image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum70.4
5-th percentile70.968881
Q171.408303
median71.871424
Q372.403153
95-th percentile72.831231
Maximum73.426615
Range3.0266152
Interquartile range (IQR)0.99485024

Descriptive statistics

Standard deviation0.59805504
Coefficient of variation (CV)0.0083191858
Kurtosis-1.0088113
Mean71.88865
Median Absolute Deviation (MAD)0.49757804
Skewness0.00054828428
Sum27713075
Variance0.35766983
MonotonicityNot monotonic
2024-01-12T13:39:52.246540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71 623
 
0.2%
71.8 605
 
0.2%
71.4 590
 
0.2%
71.6 551
 
0.1%
72.4 539
 
0.1%
72 531
 
0.1%
71.2 512
 
0.1%
72.2 482
 
0.1%
70.8 476
 
0.1%
72.6 316
 
0.1%
Other values (379941) 380275
98.6%
ValueCountFrequency (%)
70.4 11
< 0.1%
70.42067703 1
 
< 0.1%
70.42364451 1
 
< 0.1%
70.43204471 1
 
< 0.1%
70.43856681 1
 
< 0.1%
70.44300414 1
 
< 0.1%
70.44585026 1
 
< 0.1%
70.4465143 1
 
< 0.1%
70.45358402 1
 
< 0.1%
70.45723446 1
 
< 0.1%
ValueCountFrequency (%)
73.42661521 1
< 0.1%
73.42104449 1
< 0.1%
73.41759499 1
< 0.1%
73.39615696 1
< 0.1%
73.39588306 1
< 0.1%
73.39179349 1
< 0.1%
73.39110102 1
< 0.1%
73.3890552 1
< 0.1%
73.38809266 1
< 0.1%
73.38353906 1
< 0.1%

tmax[16]
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.628631
Minimum70.420683
Maximum72.856918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:52.395536image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum70.420683
5-th percentile70.740181
Q171.144733
median71.627565
Q372.134776
95-th percentile72.53179
Maximum72.856918
Range2.436235
Interquartile range (IQR)0.99004328

Descriptive statistics

Standard deviation0.57761853
Coefficient of variation (CV)0.0080640732
Kurtosis-1.1422102
Mean71.628631
Median Absolute Deviation (MAD)0.49260291
Skewness0.0021003865
Sum27612837
Variance0.33364316
MonotonicityNot monotonic
2024-01-12T13:39:52.535555image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.37309441 1
 
< 0.1%
71.05832693 1
 
< 0.1%
70.94923553 1
 
< 0.1%
71.52831073 1
 
< 0.1%
71.94357492 1
 
< 0.1%
72.40862994 1
 
< 0.1%
71.63744091 1
 
< 0.1%
70.60718398 1
 
< 0.1%
70.80746182 1
 
< 0.1%
72.20150741 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
70.4206834 1
< 0.1%
70.42417471 1
< 0.1%
70.42748558 1
< 0.1%
70.42757972 1
< 0.1%
70.43471708 1
< 0.1%
70.43508693 1
< 0.1%
70.43806662 1
< 0.1%
70.43861302 1
< 0.1%
70.43953436 1
< 0.1%
70.44210546 1
< 0.1%
ValueCountFrequency (%)
72.8569184 1
< 0.1%
72.85124469 1
< 0.1%
72.84988453 1
< 0.1%
72.84852662 1
< 0.1%
72.8471993 1
< 0.1%
72.84701366 1
< 0.1%
72.84599856 1
< 0.1%
72.8455609 1
< 0.1%
72.84258052 1
< 0.1%
72.8423428 1
< 0.1%

tmax[17]
Real number (ℝ)

HIGH CORRELATION 

Distinct385499
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.695363
Minimum70.423425
Maximum73.031394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:52.679554image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum70.423425
5-th percentile70.785501
Q171.200245
median71.681603
Q372.194196
95-th percentile72.605551
Maximum73.031394
Range2.6079688
Interquartile range (IQR)0.99395154

Descriptive statistics

Standard deviation0.5856295
Coefficient of variation (CV)0.0081683036
Kurtosis-1.0924636
Mean71.695363
Median Absolute Deviation (MAD)0.49683851
Skewness0.0049495205
Sum27638563
Variance0.34296191
MonotonicityNot monotonic
2024-01-12T13:39:52.825540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 2
 
< 0.1%
72.33102763 1
 
< 0.1%
70.80962634 1
 
< 0.1%
71.39104477 1
 
< 0.1%
71.86070756 1
 
< 0.1%
72.4701595 1
 
< 0.1%
71.82972001 1
 
< 0.1%
70.6226813 1
 
< 0.1%
71.15912975 1
 
< 0.1%
72.46736956 1
 
< 0.1%
Other values (385489) 385489
> 99.9%
ValueCountFrequency (%)
70.42342532 1
< 0.1%
70.42556363 1
< 0.1%
70.42757235 1
< 0.1%
70.431424 1
< 0.1%
70.43344791 1
< 0.1%
70.43497666 1
< 0.1%
70.43924082 1
< 0.1%
70.43977986 1
< 0.1%
70.43978194 1
< 0.1%
70.44052781 1
< 0.1%
ValueCountFrequency (%)
73.03139411 1
< 0.1%
73.02965211 1
< 0.1%
73.02884836 1
< 0.1%
73.02698854 1
< 0.1%
73.0256524 1
< 0.1%
73.02428204 1
< 0.1%
73.02380617 1
< 0.1%
73.02346115 1
< 0.1%
73.02200366 1
< 0.1%
73.02121028 1
< 0.1%

x
Real number (ℝ)

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean397.72374
Minimum200
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:52.996540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile215
Q1285
median400
Q3500
95-th percentile585
Maximum600
Range400
Interquartile range (IQR)215

Descriptive statistics

Standard deviation120.5931
Coefficient of variation (CV)0.30320822
Kurtosis-1.197003
Mean397.72374
Median Absolute Deviation (MAD)110
Skewness0.034705739
Sum1.533225 × 108
Variance14542.697
MonotonicityIncreasing
2024-01-12T13:39:53.149557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
235 6600
 
1.7%
580 6300
 
1.6%
565 6300
 
1.6%
410 6100
 
1.6%
405 6100
 
1.6%
200 5900
 
1.5%
590 5900
 
1.5%
225 5900
 
1.5%
355 5800
 
1.5%
585 5800
 
1.5%
Other values (71) 324800
84.3%
ValueCountFrequency (%)
200 5900
1.5%
205 5300
1.4%
210 5600
1.5%
215 5600
1.5%
220 4800
1.2%
225 5900
1.5%
230 5600
1.5%
235 6600
1.7%
240 5800
1.5%
245 5800
1.5%
ValueCountFrequency (%)
600 5300
1.4%
595 5500
1.4%
590 5900
1.5%
585 5800
1.5%
580 6300
1.6%
575 5100
1.3%
570 5500
1.4%
565 6300
1.6%
560 5500
1.4%
555 5800
1.5%

y
Real number (ℝ)

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean404.10636
Minimum200
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:39:53.307537image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile225
Q1310
median405
Q3500
95-th percentile580
Maximum600
Range400
Interquartile range (IQR)190

Descriptive statistics

Standard deviation113.65223
Coefficient of variation (CV)0.28124336
Kurtosis-1.1513592
Mean404.10636
Median Absolute Deviation (MAD)95
Skewness-0.027233727
Sum1.55783 × 108
Variance12916.829
MonotonicityNot monotonic
2024-01-12T13:39:53.454540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390 6100
 
1.6%
485 5900
 
1.5%
495 5900
 
1.5%
540 5700
 
1.5%
400 5600
 
1.5%
395 5600
 
1.5%
380 5500
 
1.4%
375 5500
 
1.4%
525 5400
 
1.4%
520 5400
 
1.4%
Other values (71) 328900
85.3%
ValueCountFrequency (%)
200 3800
1.0%
205 3400
0.9%
210 3900
1.0%
215 3400
0.9%
220 3900
1.0%
225 4100
1.1%
230 4600
1.2%
235 4800
1.2%
240 4200
1.1%
245 4000
1.0%
ValueCountFrequency (%)
600 4700
1.2%
595 5300
1.4%
590 4700
1.2%
585 4400
1.1%
580 4700
1.2%
575 4500
1.2%
570 4000
1.0%
565 4300
1.1%
560 3900
1.0%
555 4000
1.0%

Interactions

2024-01-12T13:39:41.257540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:38:34.458254image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
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2024-01-12T13:38:41.506436image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:38:44.879435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:38:48.534438image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:38:51.874441image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:38:55.415439image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:38:59.138439image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:02.511468image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:05.888435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:09.407439image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
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2024-01-12T13:39:19.690440image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
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2024-01-12T13:38:51.700435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:38:55.231466image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:38:58.946440image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:02.326435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:05.689433image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:09.232438image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:12.868435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:16.191435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:19.510435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:23.247435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:26.583433image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:30.151437image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:33.869435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:37.507439image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:39:41.070538image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Correlations

2024-01-12T13:39:53.617540image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
tmax[0]tmax[10]tmax[11]tmax[12]tmax[13]tmax[14]tmax[15]tmax[16]tmax[17]tmax[1]tmax[2]tmax[3]tmax[4]tmax[5]tmax[6]tmax[7]tmax[8]tmax[9]xy
tmax[0]1.0000.0120.0100.0050.0120.0070.0110.0050.0120.0130.0130.0090.0060.0070.0100.0160.0080.008-0.0000.001
tmax[10]0.0121.0000.7840.0100.9170.5460.9300.9330.9470.5270.2300.7770.5380.9060.5060.0060.6820.4490.1090.163
tmax[11]0.0100.7841.0000.0130.7870.5300.7820.7700.7830.4750.1950.6430.4140.7160.3750.0040.5240.368-0.0700.192
tmax[12]0.0050.0100.0131.0000.0090.0140.0070.0030.0060.0020.0040.0020.0030.0030.0020.0020.0120.015-0.0020.001
tmax[13]0.0120.9170.7870.0091.0000.6040.9340.9530.9680.6040.2810.8550.5610.9110.4870.0050.6130.388-0.1600.030
tmax[14]0.0070.5460.5300.0140.6041.0000.5690.5650.5750.4190.1840.5090.3080.5150.2440.0040.3320.225-0.1950.083
tmax[15]0.0110.9300.7820.0070.9340.5691.0000.9660.9810.5740.2630.8220.5660.9070.5140.0050.6550.4190.0030.087
tmax[16]0.0050.9330.7700.0030.9530.5650.9661.0000.9840.5950.2770.8740.6000.9670.5380.0020.6560.4080.0010.002
tmax[17]0.0120.9470.7830.0060.9680.5750.9810.9841.0000.5890.2780.8620.5930.9520.5330.0060.6680.4170.0010.001
tmax[1]0.0130.5270.4750.0020.6040.4190.5740.5950.5891.0000.2320.5780.3710.5580.2880.0090.3270.184-0.193-0.050
tmax[2]0.0130.2300.1950.0040.2810.1840.2630.2770.2780.2321.0000.2950.2190.2720.1620.0130.1470.057-0.092-0.120
tmax[3]0.0090.7770.6430.0020.8550.5090.8220.8740.8620.5780.2951.0000.5770.8620.4850.0050.5400.312-0.112-0.185
tmax[4]0.0060.5380.4140.0030.5610.3080.5660.6000.5930.3710.2190.5771.0000.6160.4110.0080.4180.2280.059-0.177
tmax[5]0.0070.9060.7160.0030.9110.5150.9070.9670.9520.5580.2720.8620.6161.0000.5610.0030.6650.4000.121-0.114
tmax[6]0.0100.5060.3750.0020.4870.2440.5140.5380.5330.2880.1620.4850.4110.5611.0000.0090.4260.2500.155-0.108
tmax[7]0.0160.0060.0040.0020.0050.0040.0050.0020.0060.0090.0130.0050.0080.0030.0091.0000.0050.0010.001-0.002
tmax[8]0.0080.6820.5240.0120.6130.3320.6550.6560.6680.3270.1470.5400.4180.6650.4260.0051.0000.3810.2260.031
tmax[9]0.0080.4490.3680.0150.3880.2250.4190.4080.4170.1840.0570.3120.2280.4000.2500.0010.3811.0000.1420.126
x-0.0000.109-0.070-0.002-0.160-0.1950.0030.0010.001-0.193-0.092-0.1120.0590.1210.1550.0010.2260.1421.0000.003
y0.0010.1630.1920.0010.0300.0830.0870.0020.001-0.050-0.120-0.185-0.177-0.114-0.108-0.0020.0310.1260.0031.000

Missing values

2024-01-12T13:39:45.125535image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-12T13:39:45.746539image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

tmax[0]tmax[1]tmax[2]tmax[3]tmax[4]tmax[5]tmax[6]tmax[7]tmax[8]tmax[9]tmax[10]tmax[11]tmax[12]tmax[13]tmax[14]tmax[15]tmax[16]tmax[17]xy
00.60000022.60000072.20000015.20000070.59416072.40000028.40000066.40000072.272.072.072.238.4000072.600000162.80000072.27659472.37309472.331028200.0200.0
179.765174111.87505855.000000200.200000156.59853571.00000070.600000181.20000071.070.870.8119.6119.84105119.812512120.00000071.06522171.02915571.089058200.0200.0
274.600000107.80000028.000000204.60000071.80000071.80000071.54185917.22992271.871.671.671.8141.6000071.9082126.61483071.86993371.89226471.943934200.0200.0
343.000000175.60000014.000000104.000000197.72593272.40000072.0815131.60000072.272.072.072.270.6000072.60000072.19542072.26294672.35738872.333282200.0200.0
4196.667482159.80000071.20000071.3572372.60000071.16020170.759682142.20000071.271.071.071.0109.2000071.411535160.18570571.21244071.24913071.242904200.0200.0
5151.274118199.600000135.8000004.40603915.80000071.200000128.60000059.40000071.071.071.071.0193.4000071.400000102.00000071.21091071.16696671.229178200.0200.0
6138.8000006.600000181.000000178.000000200.76192271.902644165.400000193.40000072.071.871.872.070.4000072.400000195.40000072.04484271.89718572.098057200.0200.0
7103.800000152.09248780.488907141.00000023.20000072.200000118.000000110.19559172.272.272.272.2147.8000072.600000184.60000072.36843272.27141272.405140200.0200.0
875.800000196.01955371.800000131.800000186.00000071.800000147.000000122.20000071.671.671.671.6167.6000072.000000188.79189371.77421871.80560071.804962200.0200.0
9131.07962124.00000011.00000043.77992170.85512771.00000070.600000148.00000070.870.670.670.8170.4000071.200000100.80000070.86619970.93135770.890480200.0200.0
tmax[0]tmax[1]tmax[2]tmax[3]tmax[4]tmax[5]tmax[6]tmax[7]tmax[8]tmax[9]tmax[10]tmax[11]tmax[12]tmax[13]tmax[14]tmax[15]tmax[16]tmax[17]xy
385490113.71826972.272.272.272.29433772.40000072.200000117.01160570.20000040.60000072.6378121.400000107.20000072.46311172.25091372.48871672.43370272.458839600.0595.0
38549165.34003171.671.671.671.80000071.800000171.000000131.800000159.200000136.80000072.029125187.80000076.80000072.00000071.60000071.95308471.79368471.901587600.0595.0
38549293.40000071.271.271.271.40000071.35219471.05706571.80000093.000000199.00000071.600000128.00000026.80000071.60000071.40000071.61987071.39061371.579378600.0595.0
38549376.80000071.071.071.071.20000071.20000070.800000100.430304170.80000056.800000190.800000111.600000105.60000071.40000071.00000071.42187471.21046171.381330600.0595.0
38549411.40000072.272.272.072.20000072.40000072.20000081.795440169.00000072.058656197.60000072.279072174.41517272.20000072.00000072.24477372.29028272.205375600.0595.0
38549532.00000071.071.071.071.20000071.20000089.20000026.200000193.20000093.20000071.400000204.40000053.80000071.40000071.20000071.41567471.16775471.359798600.0595.0
38549640.20000071.471.471.471.46109971.600000188.800000171.20000072.20000072.20000072.20000072.20000072.20000071.50031472.40000071.59840971.56241471.539605600.0595.0
385497150.89176371.271.271.271.40000071.40000071.000000176.275387132.80000076.40000071.24727471.576952127.00000071.60000071.37381471.60558571.42076171.569655600.0595.0
38549872.20000071.471.271.271.40000071.36442272.20000072.20000072.15823272.20000072.00000072.00000072.20000071.60000071.20000071.50188671.42683571.466307600.0595.0
38549965.20000071.671.671.671.80000071.80000071.600000114.00000062.400000130.20000071.80000071.861420167.40000072.00000071.80000072.06780671.81459772.015844600.0595.0